Factual package intelligence from PyPI

variantfold 2.2.0 package intelligence

Classify variants of uncertain significance using AlphaFold-predicted protein structures and graph neural networks.

pip install variantfold

Current version
2.2.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
68.3 KiB
Release history
19 releases with files
Median release cadence
0 days

variantfold dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. biopython >=1.80
  2. biopandas >=0.4
  3. matplotlib >=3.5
  4. numpy >=1.22
  5. pandas >=1.4
  6. scikit-learn >=1.0
  7. torch >=2.0
  8. torch-geometric >=2.3

The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

variantfold publishes 1 wheel and 1 source archive for version 2.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Release activity and sources

PyPI lists 19 releases with files. The first dated release is ; 19 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .